https://github.com/ben-n93/pyspaceweather

A Python wrapper for the Australian Bureau of Meteorology's Space Weather API.
https://github.com/ben-n93/pyspaceweather

bureau-of-meteorology satellite-data space space-data space-weather

Last synced: 4 days ago
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A Python wrapper for the Australian Bureau of Meteorology's Space Weather API.

• Host: GitHub
• URL: https://github.com/ben-n93/pyspaceweather
• Owner: ben-n93
• License: mit
• Created: 2024-06-25T07:57:08.000Z (7 days ago)
• Default Branch: main
• Last Pushed: 2024-06-25T09:15:05.000Z (7 days ago)
• Last Synced: 2024-06-26T09:16:59.021Z (6 days ago)
• Topics: bureau-of-meteorology, satellite-data, space, space-data, space-weather
• Language: Python
• Homepage: https://py-spaceweather.readthedocs.io/en/latest/
• Size: 19.5 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-space - pyspaceweather - A Python wrapper for getting space weather data from Australia's Bureau of Meteorology. (Data / Data Wrangling Tools)

README

        
# pyspaceweather



    

    

    

    

    



`pyspaceweather` is a Python wrapper for the Australian Bureau of Metererology's [Space Weather API](https://sws-data.sws.bom.gov.au/).

The API provides access to near real-time data from the BOM's Australian Space Weather Forecasting Centre.

## Installation

```

pip install pyspaceweather

```

## Usage

An API key, which you can get from the [BOM](https://sws-data.sws.bom.gov.au/register), is required to use the API:

```python

import os

from pyspaceweather import SpaceWeather

sw = SpaceWeather(os.environ["SPACEWEATHER_API_KEY"])

```

Each [API request method](https://sws-data.sws.bom.gov.au/api-docs#overview) is available as a method of `SpaceWeather`.

For example, to get details of any magnetic alert current for the Australian region.

```python

alert_warnings = sw.get_mag_alert()

```

What's returned is a list of `MagAlert` objects:

```python

[MagAlert(start_time=datetime.datetime(2015, 2, 7, 8, 45),

valid_until=datetime.datetime(2015, 2, 7, 20, 45),

g_scale=1,

description='minor')

]

```

Or, to get historical A-index values, you can call `get_a_index()`, passing a string or `datetime` object to the relevant parameters:

```python

a_index_data = sw.get_a_index(start="2023-01-01 00:00:00", end=datetime(2023, 12, 1, 12, 30))

```

## Documentation

You can read documentation for this wrapper at [ReadTheDocs](https://py-spaceweather.readthedocs.io/en/latest/).